Triple

T13721341
Position Surface form Disambiguated ID Type / Status
Subject Maud Windsor E329043 entity
Predicate relative P37 FINISHED
Object Amelia Windsor E339965 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Amelia Windsor | Statement: [Maud Windsor, relative, Amelia Windsor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amelia Windsor
Context triple: [Maud Windsor, relative, Amelia Windsor]
  • A. Amelia Sedley
    Amelia Sedley is a gentle, naive, and long-suffering heroine in William Makepeace Thackeray’s novel "Vanity Fair," whose romantic idealism contrasts sharply with the cynicism of the society around her.
  • B. Amelia Catherine Bennett
    Amelia Catherine Bennett is the birth name of English actress, musician, and composer Amelia Warner.
  • C. Anabella Drummond
    Anabella Drummond was a 14th-century Scottish queen consort, noted for her political influence and as the wife of King Robert III of Scotland.
  • D. Lady Amelia Windsor chosen
    Lady Amelia Windsor is a British fashion model and socialite who is a member of the extended British royal family and a granddaughter of the Duke of Kent.
  • E. Clarissa Selwynne
    Clarissa Selwynne was a British-born character actress of the early 20th century, known for her supporting roles in silent and early sound films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84a2ed481909005720b0531e585 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.